CN112149968A - Decision system and method for selecting suppliers - Google Patents

Decision system and method for selecting suppliers Download PDF

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CN112149968A
CN112149968A CN202010934623.1A CN202010934623A CN112149968A CN 112149968 A CN112149968 A CN 112149968A CN 202010934623 A CN202010934623 A CN 202010934623A CN 112149968 A CN112149968 A CN 112149968A
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supplier
index
information
purchased
index information
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邓云芳
王树涛
吴志伟
潘家贤
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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Zhuhai Lianyun Technology Co Ltd
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Abstract

The application relates to a decision system and a method for selecting suppliers, wherein the system comprises: the identification information acquisition module is used for acquiring identification information of the material to be purchased; the query module is used for querying and obtaining a supplier for providing the material to be purchased according to the identification information; a supplier information acquisition module for acquiring supplier information corresponding to each supplier; the index module is used for determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information; and the selection module is used for selecting a target supplier providing the material to be purchased from the suppliers according to the first index information. According to the scheme, the supplier information of the supplier providing the material to be purchased can be quickly inquired and obtained, the target supplier can be obtained by screening according to the obtained first index information corresponding to each supplier information, the uniformity of the standard selected by the supplier can be facilitated, and the problems of non-uniform standard and low efficiency caused by manual selection are solved.

Description

Decision system and method for selecting suppliers
Technical Field
The present application relates to the field of computer data processing technologies, and in particular, to a decision system and an apparatus for selecting a supplier.
Background
In the prior art, indexes of a specific object are performed based on operators, when the dimensionality of the object is less, accurate first index information can be obtained, and when the dimensionality of the object is more, the operators can hardly provide accurate and objective first index information.
For example: it is difficult for each supplier to complete the manufacture of all the parts by itself, and therefore, it is necessary to purchase them from a plurality of suppliers. At present, most of indexes of comprehensive conditions (such as quality indexes, cost indexes, supply guarantee indexes, mutual customers and the like) of suppliers are judged by purchasing businessmen according to own impressions. The disadvantage of this approach is that the subjectivity is too high, the advantages of the suppliers in each dimension cannot be obtained quickly, and there is a lack of strong and effective data support when different suppliers are compared. The purchasing businessman does not have objective visual, clear and transparent data support for selecting which supplier, and the best supplier is difficult to select quickly from a plurality of suppliers.
In view of the technical problems in the related art, no effective solution is provided at present.
Disclosure of Invention
To address the above technical problem or at least partially solve the above technical problem, a decision system and method for selecting a supplier are provided.
In a first aspect, an embodiment of the present application provides a decision making system for selecting a supplier, including:
the identification information acquisition module is used for acquiring identification information of the material to be purchased;
the query module is used for querying and obtaining a supplier providing the material to be purchased according to the identification information;
a supplier information acquisition module for acquiring supplier information corresponding to each of the suppliers;
the index module is used for determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information;
and the selection module is used for selecting a target supplier providing the material to be purchased from the suppliers according to the first index information.
Optionally, as in the foregoing system, the index module includes:
an index type determination unit configured to determine an index type corresponding to the first index information;
a parameter type determining unit, configured to determine a parameter type included in each of the index types;
the query unit is used for querying the supplier information to obtain parameter values corresponding to the parameter types;
the first strategy unit is used for determining a first calculation strategy corresponding to each index type;
the first processing unit is used for inputting the parameter values corresponding to the parameter types in each index type into the corresponding first calculation strategy to obtain second index information corresponding to each index type;
and the second processing unit is used for inputting each piece of second index information into a preset second calculation strategy to obtain the first index information.
Optionally, the system as described above, further comprising: the editing module is connected with the index module and comprises:
the first receiving unit is used for receiving a configuration instruction for configuring the target index type through a preset interactive interface;
the configuration unit is used for determining a target parameter type related to the target index type according to the configuration instruction;
the second receiving unit is used for receiving and obtaining an editing instruction through the interactive interface;
the editing unit is used for editing the first to-be-edited calculation strategy and/or the second to-be-edited calculation strategy according to the editing instruction to obtain a first target calculation strategy formed by variables corresponding to the target parameter type and a second target calculation strategy formed by variables corresponding to the index type; the first to-be-edited calculation strategy is a first calculation strategy corresponding to the target index type.
Optionally, as in the foregoing system, the index types include: quality index type, price index type, supply guarantee index type and service index type; the second processing unit includes:
a first result determining subunit, configured to determine quality index information corresponding to the quality index type, price index information corresponding to the price index type, supply guarantee index information corresponding to the supply guarantee index type, and service index information corresponding to the service index type;
and the second result determining subunit is configured to determine weights of the quality index information, the price index information, the supply guarantee index information, and the service index information according to the second calculation policy, and then calculate to obtain the first index information.
Optionally, as in the foregoing system, the index types include: a price index type; the material to be purchased comprises at least one seed material i; the first processing unit includes:
an acquiring subunit, configured to acquire a supply amount G of each of the suppliers X to each of the sub-materials iXiAnd a supply unit price of pXi(ii) a Wherein i is an integer greater than or equal to 1;
a first calculating subunit, configured to calculate a total purchase amount C of all the sub-materials i and a purchase amount C of each sub-material iiObtaining the purchasing amount ratio R of each sub-material ii=Ci/C;
A second calculating subunit, configured to acquire a supply price evaluation value corresponding to each of the suppliers X by using the following formula:
Figure BDA0002671491850000041
wherein n is the total number of types of the sub-materials i included in the material to be purchased; p is a radical ofXi’The lowest supply unit price of the sub-material i in each supplier;
a result calculating subunit, configured to obtain price index information corresponding to each of the suppliers X according to the supply price evaluation value; the price index information is first index information corresponding to the price index type.
Optionally, as in the foregoing system, the supplier information obtaining module includes:
the first acquisition unit is used for exporting supplier information of the materials to be purchased supplied by each supplier from a target system through a preset interface;
and the second acquisition unit is used for receiving and acquiring the supplier information acquired through input through a preset interactive interface.
Optionally, as in the foregoing system, the selecting module includes:
the total amount determining unit is used for determining the total purchasing amount of the material to be purchased;
the sorting unit is used for determining sorting information corresponding to the materials to be purchased and different suppliers according to the first index information;
and the purchasing quantity determining unit is used for obtaining the target purchasing quantity of the materials to be purchased from each supplier according to the sorting information.
Optionally, the system as described above, further comprising: a sending module connected with the index module, the sending module comprising:
a corresponding unit, configured to obtain a corresponding relationship between each of the providers and a communication address;
and the sending unit is used for sending the first index information corresponding to each supplier to the corresponding communication address according to the corresponding relation.
Optionally, the system as described above, further comprising: an improvement module connected to the metrics module, the improvement module comprising:
the item determining unit is used for determining unqualified items corresponding to the suppliers and second index information corresponding to the unqualified items according to the first index information and preset conditions;
and the improvement strategy unit is used for generating an improvement strategy corresponding to the supplier according to the second index information corresponding to the unqualified item.
In a second aspect, an embodiment of the present application provides a data processing method for selecting a supplier, including:
acquiring identification information of a material to be purchased;
inquiring according to the identification information to obtain a supplier providing the material to be purchased;
acquiring supplier information corresponding to each supplier;
determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information;
and selecting a target supplier providing the materials to be purchased from the suppliers according to the first index information.
The embodiment of the application provides a decision making system and a decision making method for selecting suppliers, wherein the system comprises: the identification information acquisition module is used for acquiring identification information of the material to be purchased; the query module is used for querying and obtaining a supplier providing the material to be purchased according to the identification information; a supplier information acquisition module for acquiring supplier information corresponding to each of the suppliers; the index module is used for determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information; and the selection module is used for selecting a target supplier providing the material to be purchased from the suppliers according to the first index information. Through the system in the embodiment, the supplier information of each supplier providing the material to be purchased can be quickly inquired and obtained, the corresponding first index information can be obtained according to the supplier information, the corresponding target supplier can be obtained through screening according to the first index information, the uniformity of the standard selected by the supplier can be facilitated, and the problems of non-uniform standard and low efficiency caused by manual selection are solved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a block diagram of a decision system for selecting a supplier according to an embodiment of the present disclosure;
FIG. 2 is a block diagram of a decision system for selecting a supplier according to another embodiment of the present application;
FIG. 3 is a block diagram of a decision system for selecting a supplier according to another embodiment of the present application;
fig. 4 is a schematic flowchart of a data processing method for selecting a supplier according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a decision making system for selecting a supplier according to an embodiment of the present application, including:
and the identification information acquisition module 1 is used for acquiring identification information of the material to be purchased.
Specifically, identification information that the user input waited to purchase the material can be acquireed through an input box to identification information acquisition module 1, wherein, identification information can be the only information that corresponds with waiting to purchase the material such as code, name, and further, identification information can also be information such as two-dimensional code, and then can directly scan identification information or pass through identification information acquisition module 1 with the two-dimensional code through sweeping the sign indicating number device and upload to the module that is used for carrying out the discernment to confirm waiting to purchase the material.
And the query module 2 is used for querying and obtaining the suppliers providing the materials to be purchased according to the identification information.
Specifically, the corresponding relationship between the supplier and the material to be purchased may be pre-established, stored in a specific database, and then queried in the database according to the identification information through the query module 2, so as to obtain the supplier associated with the identification information.
A supplier information acquiring module 3, configured to acquire supplier information corresponding to each supplier.
Specifically, the vendor information may include, but is not limited to: group, material type, manufacturer code, manufacturer name, inspection lot number, qualified lot number, inspection reject ratio, use number, offline rate, after-sale reject ratio, quality special item requirement I, quality special item requirement II, quality special item requirement III, stop return number, stop line number, seal return package singular number, major default number, finishing failure frequency, serious non-conforming item number, general non-conforming item non-finishing, suggested item non-finishing, quality agreement signing, incentive item and the like.
The information involved may be uploaded by the supplier or written by system maintenance personnel.
The index module 4 is used for determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information;
optionally, the first index information may represent an evaluation result of each supplier supplying the material to be purchased; further, the information of each category in the supplier information can be comprehensively calculated. The first index information of different suppliers corresponding to the same material to be purchased is generally different, and the first index information of the same supplier corresponding to different materials to be purchased is also different.
And the selection module 5 is used for selecting a target supplier providing the materials to be purchased from the suppliers according to the first index information.
That is, after obtaining the first index information corresponding to the material to be purchased of each supplier, a target supplier providing the material to be purchased may be selected from the various suppliers based on the first index information, where the target supplier is the supplier finally selected to provide the material to be purchased, and generally, the target supplier may include one or more suppliers. For example, the supplier price of different suppliers may be compared, and then the supplier with the lowest price may be selected as the target supplier.
In summary, through the system in this embodiment, supplier information of each supplier providing the material to be purchased can be quickly queried and obtained, corresponding first index information can be obtained according to the supplier information, and a corresponding target supplier can be obtained by screening according to the first index information, so that uniformity of standards selected by the suppliers can be facilitated, and the problems of non-uniform standards and low efficiency caused by manual selection can be avoided.
As shown in fig. 2, in some embodiments, such as the aforementioned system, the metric module 4 includes:
an index type determination unit 41 for determining an index type corresponding to the first index information.
Specifically, one or more index types may exist corresponding to the first index information, and when a plurality of index types exist, the first index information may be calculated according to a parameter value corresponding to each index type.
And a parameter type determining unit 42, configured to determine the parameter types included in the index types.
That is, each metric type may also include one or more parameter types; on the basis of the example given in the foregoing embodiment, when the index type is a product quality index, the parameter types that it may include may further include: the after-sale reject ratio, the quality special requirement 1, the quality special requirement 2, the quality special requirement 3 and the like.
And the query unit 43 is configured to query the provider information to obtain the parameter values corresponding to the respective parameter types.
Specifically, the supplier information may include various parameter types and parameter values; and each parameter value corresponds to a particular parameter type. Thus, the vendor information may alternatively be stored in the database in the form of a data table.
And the first strategy unit 44 is used for determining the first calculation strategy corresponding to each index type.
Specifically, the first calculation strategy is a calculation strategy corresponding to the index type, and each index type may correspond to one first calculation strategy; the first calculation strategy may be a method capable of implementing correspondence to a certain calculation formula.
And the first processing unit 45 is configured to input the parameter value corresponding to each parameter type in each index type into the corresponding first calculation policy, so as to obtain second index information corresponding to each index type.
Specifically, each variable in the first calculation strategy is uniquely corresponding to a parameter type in the index type; the corresponding relation between each index type and the first calculation strategy can be established in advance, the first calculation strategy is called when the method is used, and then each variable in the first calculation strategy is assigned according to the parameter value corresponding to each parameter type, so that the second index information corresponding to each index type can be obtained through calculation.
And the second processing unit 46 is configured to input each piece of second index information into a preset second calculation strategy to obtain the first index information.
That is, the second calculation policy is a policy for calculating the first index information from the second index information. Similarly, each second index information may be used as a parameter value to assign a value to a variable corresponding to each second index information in the second calculation policy, so as to obtain the first index information.
Furthermore, by adopting the method in the embodiment, the first index information corresponding to each supplier can be obtained, so that the suppliers can be visually represented, and later judgment and use are more convenient.
In some embodiments, a system as in the preceding, further comprising: the editing module 6 is connected with the index module, and the editing module 6 comprises:
the first receiving unit 61 is configured to receive a configuration instruction for configuring a target indicator type through a preset interactive interface.
Specifically, the receiving of the configuration instruction may be implemented by triggering a specific control on the interactive interface (e.g., triggering "start configuration", etc.), and the parameter type included in the target index type may be configured by the configuration instruction. The configuration mode selected by the configuration instruction may include, but is not limited to: add, delete, modify, etc. The added implementation method can be that after the interactive interface is clicked and added, all parameter types which can be associated with the target index type are obtained, and then the parameter types are associated with the target index type; the deleting method may be: displaying all parameter types associated with the target index type on an interactive interface, wherein each parameter type can correspond to a deletion control, and when the deletion control is triggered, the association relationship between the contact parameter type and the target index type can be realized; wherein the modification may be to modify information such as the name of the parameter type.
And the configuration unit 62 is used for determining a target parameter type related to the target index type according to the configuration instruction.
Specifically, after the target index type is configured according to the configuration instruction, all target parameter types related to the target index type may be determined.
And a second receiving unit 63, configured to receive the editing instruction through the interactive interface.
Specifically, the receiving of the edit instruction may be implemented by triggering a specific control on the interactive interface (e.g., triggering "begin formula edit", etc.), and the parameter type included in the target index type may be configured by the edit instruction.
The editing unit 64 is configured to edit the first to-be-edited calculation strategy and/or the second to-be-edited calculation strategy according to the editing instruction, so as to obtain a first target calculation strategy formed by variables corresponding to the target parameter types and a second target calculation strategy formed by variables corresponding to the index types; the first to-be-edited calculation strategy is a first calculation strategy corresponding to the target index type.
Specifically, the editing instruction may be used to edit the first to-be-edited calculation policy, or may be used to edit the second to-be-edited calculation policy; when the first to-be-edited calculation strategy and the second to-be-edited calculation strategy are formulas, the editing instruction can edit the formulas through the operation logic displayed on the interactive interface, and the variables in the formulas can establish corresponding relations with various parameter types through the editing instruction; therefore, a first target calculation strategy formed by the variables corresponding to the target parameter types and a second target calculation strategy formed by the variables corresponding to the index types can be obtained.
Furthermore, through the method in the embodiment, the calculation strategy and the parameter type can be customized and configured individually, so that the method can be suitable for different application scenes and can be adapted to the adaptive correction along with the change of the scenes, and the accuracy of the first index information can be effectively improved.
In some embodiments, as in the previous system, the indicator types include: quality index type, price index type, supply guarantee index type and service index type; the second processing unit 46 includes:
the first result determining subunit 461 is configured to determine quality index information corresponding to a quality index type, price index information corresponding to a price index type, supply guarantee index information corresponding to a supply guarantee index type, and service index information corresponding to a service index type. Specifically, the quality index information may be used for quality evaluation, the price index type may be used for price evaluation, the supply support index type may be used for supply support evaluation, and the service index type may be used for evaluation of deep cooperation and support of the provider on the aspects of products, activities, and the like of one party.
And a second result determining subunit 462, configured to determine weights of the quality index information, the price index information, the supply guarantee index information, and the service index information according to a second calculation policy, and then calculate to obtain the first index information. Specifically, the first index information may be obtained by performing weighted calculation on quality index information, price index information, supply guarantee index information, and service index information. For example, one implementation method corresponding to the selectable weight distribution manner may be:
the first index information is quality index information × 0.3+ price index information × 0.3+ supply guarantee index information × 0.3+ service index information × 0.1.
Wherein, when the index type is a price index type; the material to be purchased comprises at least one seed material i; the first processing unit 45 includes:
an acquisition subunit 451 for acquiring the supply amount G of each supplier X to each seed material iXiAnd a supply unit price of pXi(ii) a Wherein i is an integer greater than or equal to 1; optionally, pXiIf supplier X does not provide a sub-material i, i.e. pXiWhen there is no price, the highest price of the sub-materials in all suppliers can be taken as the supply unit price pXi
A first calculating subunit 452, configured to calculate the total purchase amount C of all the sub-materials i and the purchase amount C of each sub-material iiObtaining the purchase amount ratio R of each seed material ii=CiC; wherein, the total purchase amount of a certain sub-material is equal to the sub-material price of the supplier A, the sub-material ex-warehouse quantity of the supplier A, the sub-material price of the supplier B, the sub-material ex-warehouse quantity of the supplier B and … …
A second calculating subunit 453, configured to acquire a supply price evaluation value corresponding to each supplier X by using the following formula:
Figure BDA0002671491850000121
wherein n is the total number of types of the sub-materials i included in the material to be purchased; p is a radical ofXi’The lowest supply unit price of the neutron material i for each supplier;
a result calculation subunit 454 for obtaining price index information corresponding to each supplier X from the supply price evaluation value; the price index information is first index information corresponding to a price index type.
The score of the supplier with the highest first index information score may be p (x) 100, and the scores of other suppliers may be obtained by sequentially decreasing the fixed score difference in order, or may be obtained according to the ratio between the first index information items corresponding to different suppliers.
Furthermore, two dimensions of pricing satisfaction degree and innovation cost-reducing project evaluation can be included, so that the comprehensive evaluation model corresponding to the price index type can include three evaluation dimensions.
Q(x)=0.8×P(x)+0.2×D(x)+I(x)
Wherein Q (x) is: evaluating the score of the price plate; p (x) is: a cost performance evaluation score; d (x) is: evaluating a score of the pricing satisfaction degree; i (x) is: reducing the evaluation score of the innovation item;
alternatively, i (X) is 30 × X/(X +1), where X is a value of cost reduction. The supply guarantee index information can be obtained by calculating according to the following method:
the supply guarantee evaluation score is multiplied by the supply difficulty coefficient and the emergency support score;
off-line time score of (1-T)XDiv T) x 100; wherein, TXThe downtime (i.e., the downtime) corresponding to a certain material is for supplier X, and T is the total downtime for all suppliers that provide the material.
The supply difficulty coefficient can be obtained by the following method:
determining the type quantity of materials which can be supplied by each supplier, the target supply quantity of target materials and the quantity of supply bases;
determining a material type quantity ranking and a target supply quantity ranking corresponding to each supplier;
obtaining a supply coverage rate corresponding to each provider according to the quantity of supply bases and the total quantity of the supply bases;
and obtaining a supply difficulty coefficient for supplying the target material with each provider according to the material type quantity ranking, the target supply quantity ranking and the supply coverage rate of each provider.
For example, the supply difficulty coefficient k is a certain material supply code quantity ranking coefficient × 0.6+ a certain material supply quantity ranking coefficient × 0.2+ a certain material supply base coverage coefficient × 0.2; the ranking coefficient of the code quantity of certain material supply is the ranking of the quantity of material types, the ranking coefficient of the quantity of certain material supply is the ranking of the target supply quantity, and the coverage coefficient of the base of certain material supply is the supply coverage rate;
(1) the deviation rate of the supply code quantity is less than or equal to 5 percent, the deviation rate of the supply quantity is less than or equal to 10 percent, and the rank is not reduced;
(2) the deviation rate is (1-current ranking value/last ranking value) x 100%;
(3) ranking coefficients, as shown in the following table:
ranking Coefficient of performance
A
1
II 0.9
III 0.8
…… ……
The Nth name 0.3
(4) If the deviation rate of the last code quantity is more than 10 percent and the deviation rate of the supply quantity is more than 20 percent, the coefficient can be reduced by 0.1 more;
(5) optionally, the factor is to 0.3 back cover.
(6) Coverage coefficient of supply base is base coverage x 0.8+0.2
Figure BDA0002671491850000151
Base coverage coefficient:
when a certain material of manufacturer A is supplied to 4 places and the area needing supply always has 8 places, then:
base coverage rate 4 ÷ 8 × 100%
Supply base coverage coefficient: 0.5 × 0.8+0.2 ═ 0.6
Supply difficulty coefficient:
the difficulty coefficient of the manufacturer a is 1 × 0.6+1 × 0.2+0.6 × 0.2 is 0.92.
The service index type can reflect the deep cooperation and support situation of the supplier to the product, activity and other aspects of the purchaser when the supplier and the purchaser are mutually clients. The mutual customer evaluation model calculation formula is as follows:
E(x)=P(x)+S(x)×10=(a×66+b×33+c×33+d×3.3)÷T(x)×100+s(x)×10
wherein, a: the purchase amount of the retail complete machine; b: a project order purchase amount; c: an intelligent equipment purchase amount; d: an amount of industrial product purchase; p (x): scoring the purchased product, and capping by 120 points; s (x): an activity sponsorship score; t (x): the vendor supplies money in quarters.
In summary, by using the method in this embodiment, the supplier can be evaluated through the multi-dimensional index, and a comprehensive evaluation result is obtained.
In some embodiments, as in the foregoing system, the supplier information acquiring module 3 includes:
the first obtaining unit 31 is configured to derive, from the target system through a preset interface, provider information that each provider supplies a material to be purchased;
and a second obtaining unit 32, configured to receive and obtain the supplier information obtained through the input through a preset interactive interface.
Specifically, the target system is a system that provides vendor information; the relevant information can be uploaded by the supplier or obtained by writing by supplier information maintenance personnel.
That is, the method of acquiring the provider information may be: the system is derived from other systems (namely, a target system) through a preset interface; or the data can be obtained by relevant personnel through an interactive interface after writing.
By the method in the embodiment, multiple ways for acquiring the supplier information can be provided, data maintenance is facilitated, and the real-time performance and accuracy of the supplier information can be effectively guaranteed. As shown in fig. 3, in some embodiments, such as the aforementioned system, the selection module 5 comprises:
and a total amount determining unit 51, configured to determine a total purchasing amount of the material to be purchased.
That is to say, the total purchase amount is the total purchase amount of the material to be purchased, and the total purchase amount can be obtained by an operator writing in a specific control on the interactive interface.
And the sorting unit 52 is configured to determine sorting information corresponding to the materials to be purchased of different suppliers according to the first index information.
Specifically, the first index information may be a score corresponding to the material to be purchased for each supplier, and therefore, the suppliers may be sorted according to the first index information, and optionally: the sorting information can be obtained by sorting from large to small.
And a purchasing amount determining unit 53 for obtaining a target purchasing amount of the material to be purchased from each supplier according to the sorting information.
Specifically, after the order information is obtained, order information corresponding to each supplier may be obtained, and then a target supplier for providing the material to be purchased may be determined according to the order information, for example: the supplier in the top 3 carries out supply; and target purchase amounts for each target supplier; for example: the first supplier provides 50% of the material to be purchased, the second supplier provides 50% of the material to be purchased, and the third supplier provides 20% of the material to be purchased.
By the method in the embodiment, the supply quantity of each provider can be automatically acquired, and the condition of inaccurate calculation or human intervention caused by human operation is avoided.
In some embodiments, a system as in the preceding, further comprising: and a sending module 7 connected to the index module 4, wherein the sending module 7 includes:
a correspondence unit 71 configured to acquire correspondence between each provider and a communication address;
and a sending unit 72, configured to send the first index information corresponding to each provider to the corresponding communication address according to the corresponding relationship.
Specifically, a corresponding relationship between the provider and the communication address may be established in advance, and optionally, a corresponding relationship between the ID or name of the provider and the communication address may be established, and the corresponding relationship is stored in a specific provider communication database; the query module 2 can query the database according to the ID or name of the provider to obtain the communication address corresponding to the provider.
After the communication address is obtained, the first index information corresponding to each supplier can be sent to the corresponding communication address, so that the purpose of informing the corresponding evaluation result of each supplier is achieved, and the communication address can be improved.
In some embodiments, a system as in the preceding, further comprising: an improvement module 8 connected to the indicator module 4, the improvement module 8 comprising:
the item determining unit 81 is configured to determine an unqualified item corresponding to a supplier and second index information corresponding to the unqualified item according to the first index information and a preset condition.
Specifically, the first index information includes at least one second index information; each of the second indexing information corresponds to an item evaluated by a supplier; the preset condition is a condition for judging whether each piece of second index information is qualified.
And an improvement policy unit 82, configured to generate an improvement policy corresponding to the supplier according to the second index information corresponding to the unqualified item.
Specifically, the improvement policy is a policy provided for a supplier to improve the supply capacity of the supplier, wherein each item may correspond to one or more improvement policies, and optionally, when second index information corresponding to a certain item does not meet a preset condition or the certain item is determined as an unqualified item, the acquisition of the corresponding improvement policy is triggered.
By the method in the embodiment, not only can corresponding index information be generated for the supplier, but also the corresponding improvement strategy can be automatically generated for the project which does not meet the requirement in the supplier, so that the supply level of the supplier is promoted to be improved.
As shown in fig. 4, according to an embodiment of another aspect of the present application, there is also provided a data processing method for selecting a supplier, including the steps S1 to S5 as follows:
s1, acquiring identification information of a material to be purchased;
s2, inquiring according to the identification information to obtain a supplier providing the material to be purchased;
s3, acquiring provider information corresponding to each provider;
s4, determining first index information corresponding to each supplier and the material to be purchased according to the supplier information;
and S5, selecting a target supplier providing the materials to be purchased from the suppliers according to the first index information.
Specifically, the specific process for implementing the functions of each step in the method according to the embodiment of the present invention may refer to the related description in the foregoing embodiments, and details are not repeated here.
According to another embodiment of the present application, there is also provided an electronic apparatus, which may include: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus.
A memory for storing a computer program;
and the processor is used for realizing the steps of the embodiment of the method when executing the program stored in the memory.
The bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
The embodiment of the present application further provides a storage medium, where the storage medium includes a stored program, and the program executes the method steps of the foregoing method embodiment when running.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A decision making system for selecting a supplier, comprising:
the identification information acquisition module is used for acquiring identification information of the material to be purchased;
the query module is used for querying and obtaining a supplier providing the material to be purchased according to the identification information;
a supplier information acquisition module for acquiring supplier information corresponding to each of the suppliers;
the index module is used for determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information;
and the selection module is used for selecting a target supplier providing the material to be purchased from the suppliers according to the first index information.
2. The system of claim 1, wherein the metrics module comprises:
an index type determination unit configured to determine an index type corresponding to the first index information;
a parameter type determining unit, configured to determine a parameter type included in each of the index types;
the query unit is used for querying the supplier information to obtain parameter values corresponding to the parameter types;
the first strategy unit is used for determining a first calculation strategy corresponding to each index type;
the first processing unit is used for inputting the parameter values corresponding to the parameter types in each index type into the corresponding first calculation strategy to obtain second index information corresponding to each index type;
and the second processing unit is used for inputting each piece of second index information into a preset second calculation strategy to obtain the first index information.
3. The system of claim 2, further comprising: the editing module is connected with the index module and comprises:
the first receiving unit is used for receiving a configuration instruction for configuring the target index type through a preset interactive interface;
the configuration unit is used for determining a target parameter type related to the target index type according to the configuration instruction;
the second receiving unit is used for receiving and obtaining an editing instruction through the interactive interface;
the editing unit is used for editing the first to-be-edited calculation strategy and/or the second to-be-edited calculation strategy according to the editing instruction to obtain a first target calculation strategy formed by variables corresponding to the target parameter type and a second target calculation strategy formed by variables corresponding to the index type; the first to-be-edited calculation strategy is a first calculation strategy corresponding to the target index type.
4. The system of claim 2, wherein the indicator types comprise: quality index type, price index type, supply guarantee index type and service index type; the second processing unit includes:
a first result determining subunit, configured to determine quality index information corresponding to the quality index type, price index information corresponding to the price index type, supply guarantee index information corresponding to the supply guarantee index type, and service index information corresponding to the service index type;
and the second result determining subunit is configured to determine weights of the quality index information, the price index information, the supply guarantee index information, and the service index information according to the second calculation policy, and then calculate to obtain the first index information.
5. The system of claim 2, wherein the indicator types comprise: a price index type; the material to be purchased comprises at least one seed material i; the first processing unit includes:
an acquiring subunit, configured to acquire a supply amount G of each of the suppliers X to each of the sub-materials iXiAnd a supply unit price of pXi(ii) a Wherein i is an integer greater than or equal to 1;
a first calculating subunit, configured to calculate a total purchase amount C of all the sub-materials i and a purchase amount C of each sub-material iiObtaining the purchasing amount ratio R of each sub-material ii=Ci/C;
A second calculating subunit, configured to acquire a supply price evaluation value corresponding to each of the suppliers X by using the following formula:
Figure FDA0002671491840000031
wherein n is the total number of types of the sub-materials i included in the material to be purchased; p is a radical ofXi’The lowest supply unit price of the sub-material i in each supplier;
a result calculating subunit, configured to obtain price index information corresponding to each of the suppliers X according to the supply price evaluation value; the price index information is first index information corresponding to the price index type.
6. The system of claim 1, wherein the supplier information obtaining module comprises:
the first acquisition unit is used for exporting supplier information of the materials to be purchased supplied by each supplier from a target system through a preset interface;
and the second acquisition unit is used for receiving and acquiring the supplier information acquired through input through a preset interactive interface.
7. The system of claim 1, wherein the selection module comprises:
the total amount determining unit is used for determining the total purchasing amount of the material to be purchased;
the sorting unit is used for determining sorting information corresponding to the materials to be purchased and different suppliers according to the first index information;
and the purchasing quantity determining unit is used for obtaining the target purchasing quantity of the materials to be purchased from each supplier according to the sorting information.
8. The system of claim 1, further comprising: a sending module connected with the index module, the sending module comprising:
a corresponding unit, configured to obtain a corresponding relationship between each of the providers and a communication address;
and the sending unit is used for sending the first index information corresponding to each supplier to the corresponding communication address according to the corresponding relation.
9. The system of claim 1, further comprising: an improvement module connected to the metrics module, the improvement module comprising:
the item determining unit is used for determining unqualified items corresponding to the suppliers and second index information corresponding to the unqualified items according to the first index information and preset conditions;
and the improvement strategy unit is used for generating an improvement strategy corresponding to the supplier according to the second index information corresponding to the unqualified item.
10. A data processing method for selecting a supplier, comprising:
acquiring identification information of a material to be purchased;
inquiring according to the identification information to obtain a supplier providing the material to be purchased;
acquiring supplier information corresponding to each supplier;
determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information;
and selecting a target supplier providing the materials to be purchased from the suppliers according to the first index information.
CN202010934623.1A 2020-09-08 2020-09-08 Decision system and method for selecting suppliers Pending CN112149968A (en)

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